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knowledge-card知识卡

Agent Skill

knowledge-card 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,955

周安装

160

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下载量

1,242
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:knowledge-card(知识卡)
来源仓库:https://github.com/jackyken/knowledge-card
安装命令:
openclaw skills install knowledge-card
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install knowledge-card

简介

knowledge-card 用于生成知识概念卡和信息图表。

  • 适合从书籍摘要或笔记中提取核心概念并可视化呈现。
  • 使用时需确认内容准确性和视觉风格适配需求。
  • 涉及对外传播时应注意版权归属和署名规范。knowledge-card 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装并参考原始文档了解具体生成参数。

SKILL.md

name
knowledge-card
description
Generate beautiful knowledge concept cards (知识概念卡片) from book summaries, notes, or topics. Creates visually appealing infographic-style cards with core concepts, quotes, and branding. Use when user asks to "生成知识卡片", "做成知识图解", "create a knowledge card", or provides content that should be visualized as a concept card.

Knowledge Card Generator

Generate beautiful knowledge concept cards (知识概念卡片) from any content: book summaries, course notes, meeting insights, or topic overviews.

When to Use

Trigger this skill when the user:

  • Asks to "生成知识卡片" / "做成知识图解" / "create a knowledge card"
  • Provides book/course content and wants a visual summary
  • Says "把这个做成卡片" / "帮我可视化这些概念"
  • Mentions "KnowledgeCard:" followed by content

What It Does

  1. Extracts 4-5 core concepts from the input (book/notes/topic)
  2. Generates a high-quality PNG card (2400px width, 3x DPI) with:

- Gradient top bar + title + subtitle - Each concept: icon + title + tag + quote + explanation - Bottom quote block (optional) - Brand footer

  1. Sends the image directly to the current chat

Workflow

Step 1: Analyze Input

If user provides raw content (book summary, notes, transcript), extract:

  • Main title (book name or topic)
  • Subtitle (optional tagline or author)
  • 4-5 core concepts, each with:

- Title (concept name) - Tag (1-2 word label) - Quote (original quote or distilled insight) - Description (2-3 sentences explaining the concept)

If user provides structured data (JSON), use it directly.

Step 2: Choose Theme

Pick a theme color based on content tone:

  • blue — default, knowledge/wisdom
  • green — growth/health/sustainability
  • orange — wealth/energy/action
  • red — passion/urgency/relationships
  • purple — creativity/spirituality
  • teal — technology/innovation

Step 3: Generate Card

Run the script:

node scripts/generate.js \
  --title "书名或主题" \
  --subtitle "副标题(可选)" \
  --badge "标签(如:核心概念)" \
  --theme "blue" \
  --concepts '[
    {
      "icon": "💡",
      "color": "#3B82F6",
      "bg": "#DBEAFE",
      "title": "概念名称",
      "tag": "标签",
      "quote": "金句或原文引用",
      "desc": "2-3句解读,用<b>加粗</b>强调关键词"
    },
    ...
  ]' \
  --quote "底部金句(可选)" \
  --quote-author "—— 作者" \
  --brand "心光年觉醒读书会" \
  --vol "Vol.01 · 系列名" \
  --output /tmp/output.png

The script prints the output path on success.

Step 4: Send to User

⚠️ 发图方式按渠道不同,必须分支处理:

飞书渠道(channel=feishu)

直接调飞书 API 上传图片再发送,不要用 message(filePath=...)(会失败):

# Step 4a: 获取 token
APP_ID="your_feishu_app_id"        # 替换成你的飞书 App ID
APP_SECRET="your_feishu_app_secret"  # 替换成你的飞书 App Secret
TOKEN=$(curl -s -X POST "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal" \
  -H "Content-Type: application/json" \
  -d "{\"app_id\":\"$APP_ID\",\"app_secret\":\"$APP_SECRET\"}" \
  | python3 -c "import sys,json; print(json.load(sys.stdin)['tenant_access_token'])")

# Step 4b: 上传图片,获取 image_key
IMAGE_KEY=$(curl -s -X POST "https://open.feishu.cn/open-apis/im/v1/images" \
  -H "Authorization: Bearer $TOKEN" \
  -F "image_type=message" \
  -F "image=@/path/to/output.png" \
  | python3 -c "import sys,json; print(json.load(sys.stdin)['data']['image_key'])")

# Step 4c: 发送图片消息
# receive_id 是目标用户的 open_id 或群的 chat_id
# receive_id_type: open_id(私聊)或 chat_id(群聊)
curl -s -X POST "https://open.feishu.cn/open-apis/im/v1/messages?receive_id_type=open_id" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"receive_id\":\"$RECEIVE_ID\",\"msg_type\":\"image\",\"content\":\"{\\\"image_key\\\":\\\"$IMAGE_KEY\\\"}\"}"

然后用 message 工具发一条文字消息作为说明(可选)。

QQ 渠道(channel=qqbot)

使用 qqbot-media skill 的 <qqmedia> 标签发送图片: 先读取 ~/.openclaw/workspace/skills/qqbot-media/SKILL.md 获取详细用法。

其他渠道(Discord、Telegram、WeChat 等)

使用 message 工具:

message(action=send, filePath=/path/to/output.png, message="简短介绍文字")

Concept Structure Guidelines

Good concept:

{
  "icon": "🧬",
  "color": "#E11D48",
  "bg": "#FFE4E6",
  "title": "专属知识",
  "tag": "不可替代性",
  "quote": "如果可以培训,就可以被AI或他人取代",
  "desc": "专属知识不是课程能教的技能,而是你<b>天赋 × 好奇心 × 热爱</b>的独特组合。别人学你,感觉像在上班;你做它,感觉像在玩。"
}

Tips:

  • Use bold (<b>) for key terms in desc
  • Keep quote under 30 characters (Chinese) or 60 (English)
  • desc should be 2-3 sentences, ~80-120 characters
  • Pick contrasting color and bg for readability

Theme Colors Reference

blue:   { accent: '#2563EB', light: '#EFF6FF', border: '#BFDBFE' }
green:  { accent: '#059669', light: '#F0FDF4', border: '#BBF7D0' }
orange: { accent: '#D97706', light: '#FFFBEB', border: '#FDE68A' }
red:    { accent: '#E11D48', light: '#FFF1F2', border: '#FECDD3' }
purple: { accent: '#7C3AED', light: '#F5F3FF', border: '#DDD6FE' }
teal:   { accent: '#0284C7', light: '#F0F9FF', border: '#BAE6FD' }

Example Usage

User input:

"帮我生成一张《纳瓦尔宝典》的知识卡片,主题是财富创造"

Your response:

  1. Extract 4-5 concepts from Naval's wealth philosophy
  2. Run scripts/generate.js with structured data
  3. Send the PNG with message tool
  4. Reply with brief context (e.g., "《纳瓦尔宝典》财富创造核心概念卡片 👆")

Notes

  • Default brand: "心光年觉醒读书会" (can be overridden with --brand)
  • Output is always 800px × auto height, 3x DPI (2400px actual width)
  • Script requires Playwright (already installed in this environment)
  • Fonts: Noto Serif SC (titles) + Noto Sans SC (body), loaded from Google Fonts

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.28%
按下载量换算1,171

安全审计

VirusTotal

未展示

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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